The isna() method in Pandas

The isin() method can be used with both DataFrame and Series and is used to detect missing values. It returns a boolean same-sized object indicating if the values are NA, if it is NA, it returns True otherwise False.

Syntax a) pandas.DataFrame.isna()
b) pandas.Series.isna()

In this exercise, we are using the datasource employeeswithna.csv. You can download the datasource and use for the transformation.

Example: Load the Dataframe.

Python

import pandas as pd
mydata=pd.read_csv("employeeswithna.csv")
mydata 

The output of the above code is shown below:

Let’s check the values in the dataframe is NaN or not. It returns the same sized object with boolean values.

Python

mydata.isna()   

The output of the above code is shown below: